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A Contingency-Table Model for Imputing Data Satisfying Analytic Constraints

William E. Winkler

KEY WORDS: hot-deck, loglinear models, set-covering

ABSTRACT

This paper describes a method for imputation in general contingency tables when the imputations are subject to both analytic (edit) constraints and probabilistic distributional constraints. The model extends edit ideas in Fellegi and Holt (1976) and Winkler and Chen (2002). The model extends missing-at-random imputation ideas in Little and Rubin (1987). Some of the ideas are related to Friedman (2001) and Thibaudeau and Winkler (2002).

CITATION:

Source: U.S. Census Bureau, Statistical Research Division

Created: November 21, 2003.


Source: U.S. Census Bureau | Statistical Research Division | (301) 763-3215 (or chad.eric.russell@census.gov) |   Last Revised: October 08, 2010